The logit-mixed logit (LML) model is a very recent advancement in semiparametric discrete choice models. LML represents the mixing distribution of a logit kernel as a sieve function …
T Dekker - Journal of choice modelling, 2016 - Elsevier
A novel method is proposed to estimate random parameter logit models using the asymmetric triangular distribution to describe unobserved preference heterogeneity in the …
Y Yuan, W You, KJ Boyle - 2015 - ageconsearch.umn.edu
Unobserved heterogeneity is popularly modelled using the mixed logit model, so called because it is a mixture of standard conditional logit models. Although the mixed logit model …
Mixed logit models with unobserved inter-and intra-individual heterogeneity hierarchically extend standard mixed logit models by allowing tastes to vary randomly both across …
Although the multinomial (or conditional) logit model (MNL) has been the standard in discr choice econometrics for over 30 years, people have long questioned the restrictiveness of …
The simulated choice probabilities in mixed logit models are usually approximated numerically using Halton or random draws from a multivariate mixing distribution for the …
Within the realm of logit-type random parameter models to address unobserved heterogeneity in preferences there are two dominant approaches: the mixed logit model …
Logit mixture models have gained increasing interest among researchers and practitioners because of their ability to capture unobserved taste heterogeneity. Becker et al.(2018) …
WA Kamakura, M Wedel - Journal of Business & Economic …, 2004 - Taylor & Francis
Unobserved heterogeneity in random utility choice models can be dealt with by specifying either a multinomial or a normal distribution of the coefficients, leading to finite mixture logit …